• Title/Summary/Keyword: non-cooperative

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Analysis Technique on Collusive Bidding Incentives in a Competitive Generation Market (경쟁형 전력시장에서 입찰담합의 유인에 대한 분석 기법 연구)

  • Lee, Kwang-Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.6
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    • pp.259-264
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    • 2006
  • This paper addresses the collusive bidding that functions as a potential obstacle to a fully competitive wholesale electricity market. Cooperative game is formulated and the equation of its Nash Equilibrium (NE) is derived on the basis of the supply function model. Gencos' willingness to selectively collude is expressed through a bargain theory. A Collusion Incentive Index(CII) for representing the willingness is defined through computing the Gencos' profits at NE. In order to keep the market non-cooperative, the market operator has to know the highest potentially collusive combination among the Gencos. Another index, which will be called the Collusion Monitoring Index(CMI), is suggested to detect the highest potential collusion and it is calculated using the marginal cost functions of the Gencos without any computation of NE. The effectiveness of CMI for detecting the highest potential collusion is verified through application on many test market cases.

Cooperative and Collaborative Learning through Reciprocal Peer Tutoring in EFL University Reading Instruction

  • Jeong, Kyeong-Ouk
    • English Language & Literature Teaching
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    • v.17 no.4
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    • pp.75-95
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    • 2011
  • The purpose of this study was to evaluate a group activity, reciprocal peer tutoring (RPT), in order to investigate advantages and challenges of RPT in promoting cooperative and collaborative learning environment for EFL University reading instruction. The participants in this study were 89 students taking an English reading course at a Korean university. RPT is a learning strategy whereby learners help each other and learn by teaching. This program was supported by a Vygotskyan perspective which assumes that learners gain mastery and develop cognitive skills through social interaction with more proficient others and their environment. This study relied particularly on participant perceptions through questionnaire survey and Anonymous Online class Report of the course. This study showed various advantages for tutors such as learning through teaching and becoming more autonomous and responsible for their own learning. Non-threatening and highly motivating learning atmosphere are parts of benefits for tutees. Other advantages for tutees included improved level of academic self-confidence, and motivation. This study also revealed several drawbacks associated with the problem of inaccuracy in students' production and students' demand for more direct teacher role. (182 words).

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Soft-Decision-and-Forward Protocol for Cooperative Communication Networks with Multiple Antennas

  • Yang, Jae-Dong;Song, Kyoung-Young;No, Jong-Seon;Shin, Dong-Joan
    • Journal of Communications and Networks
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    • v.13 no.3
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    • pp.257-265
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    • 2011
  • In this paper, a cooperative relaying protocol called soft-decision-and-forward (SDF) with multiple antennas in each node is introduced. SDF protocol exploits the soft decision source symbol values from the received signal at the relay node. For orthogonal transmission (OT), orthogonal codes including Alamouti code are used and for non-orthogonal transmission (NT), distributed space-time codes are designed by using a quasi-orthogonal space-time block code. The optimal maximum likelihood (ML) decoders for the proposed protocol with low decoding complexity are proposed. For OT, the ML decoders are derived as symbolwise decoders while for NT, the ML decoders are derived as pairwise decoders. It can be seen through simulations that SDF protocol outperforms AF protocol for both OT and NT.

An Algorithm to Reduce the Number of Nodes in Active Spectrum Sensing Via Cooperative Sequential Detection

  • Truc, Tran Thanh;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • v.12 no.2
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    • pp.148-154
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    • 2012
  • In this paper, we propose an algorithm to conserve resources of the common control channel in a cognitive radio network by rejecting the redundant users using cooperative spectrum sensing. The proposed scheme is investigated under the paradigm of active spectrum sensing and a sequential detection technique. The algorithm is based on the J-divergence between the hypotheses of non primary user operation and the otherwise case. We select the most significant eigenvalues, which primarily affect the global statistical test. For the case where interference is from a secondary system transmission, a match filter is first employed to remove the degradation, and then the proposed algorithm is employed to remove the cooperative sensing nodes. Numerical results are provided and compared with conventional cases in order to validate the performance of the proposed algorithm.

Throughput maximization for underlay CR multicarrier NOMA network with cooperative communication

  • Manimekalai, Thirunavukkarasu;Joan, Sparjan Romera;Laxmikandan, Thangavelu
    • ETRI Journal
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    • v.42 no.6
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    • pp.846-858
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    • 2020
  • The non-orthogonal multiple access (NOMA) technique offers throughput improvement to meet the demands of the future generation of wireless communication networks. The objective of this work is to further improve the throughput by including an underlay cognitive radio network with an existing multi-carrier NOMA network, using cooperative communication. The throughput is maximized by optimal resource allocation, namely, power allocation, subcarrier assignment, relay selection, user pairing, and subcarrier pairing. Optimal power allocation to the primary and secondary users is accomplished in a way that target rate constraints of the primary users are not affected. The throughput maximization is a combinatorial optimization problem, and the computational complexity increases as the number of users and/or subcarriers in the network increases. To this end, to reduce the computational complexity, a dynamic network resource allocation algorithm is proposed for combinatorial optimization. The simulation results show that the proposed network improves the throughput.

How Can Non.Chaebol Companies Thrive in the Chaebol Economy? (비재벌공사여하재재벌경제중생존((非财阀公司如何在财阀经济中生存)? ‐공사층면영소전략적분석(公司层面营销战略的分析)‐)

  • Kim, Nam-Kuk;Sengupta, Sanjit;Kim, Dong-Jae
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.3
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    • pp.28-36
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    • 2009
  • While existing literature has focused extensively on the strengths and weaknesses of the Chaebol and their ownership and governance, there have been few studies of Korean non-Chaebol firms. However, Lee, Lee and Pennings (2001) did not specifically investigate the competitive strategies that non-Chaebol firms use to survive against the Chaebol in the domestic Korean market. The motivation of this paper is to document, through four exploratory case studies, the successful competitive strategies of non-Chaebol Korean companies against the Chaebol and then offer some propositions that may be useful to other entrepreneurial firms as well as public policy makers. Competition and cooperation as conceptualized by product similarity and cooperative inter.firm relationship respectively, are major dimensions of firm.level marketing strategy. From these two dimensions, we develop the following $2{\times}2$ matrix, with 4 types of competitive strategies for non-Chaebol companies against the Chaebol (Fig. 1.). The non-Chaebol firm in Cell 1 has a "me-too" product for the low-end market while conceding the high-end market to a Chaebol. In Cell 2, the non-Chaebol firm partners with a Chaebol company, either as a supplier or complementor. In Cell 3, the non-Chaebol firm engages in direct competition with a Chaebol. In Cell 4, the non-Chaebol firm targets an unserved part of the market with an innovative product or service. The four selected cases such as E.Rae Electronics Industry Company (Co-exister), Intops (Supplier), Pantech (Competitor) and Humax (Niche Player) are analyzed to provide each strategy with richer insights. Following propositions are generated based upon our conceptual framework: Proposition 1: Non-Chaebol firms that have a cooperative relationship with a Chaebol will perform better than firms that do not. Proposition 1a; Co-existers will perform better than Competitors. Proposition 1b: Partners (suppliers or complementors) will perform better than Niche players. Proposition 2: Firms that have no product similarity with a Chaebol will perform better than firms that have product similarity. Proposition 2a: Partners (suppliers or complementors) will perform better than Co.existers. Proposition 2b: Niche players will perform better than Competitors. Proposition 3: Niche players should perform better than Co-existers. Proposition 4: Performance can be rank.ordered in descending order as Partners, Niche Players, Co.existers, Competitors. A team of experts was constituted to categorize each of these 216 non-Chaebol companies into one of the 4 cells in our typology. Simple Analysis of Variance (ANOVA) in SPSS statistical software was used to test our propositions. Overall findings are that it is better to have a cooperative relationship with a Chaebol and to offer products or services differentiated from a Chaebol. It is clear that the only profitable strategy, on average, to compete against the Chaebol is to be a partner (supplier or complementor). Competing head on with a Chaebol company is a costly strategy not likely to pay off for a non-Chaebol firm. Strategies to avoid head on competition with the Chaebol by serving niche markets with differentiated products or by serving the low-end of the market ignored by the Chaebol are better survival strategies. This paper illustrates that there are ways in which small and medium Korean non-Chaebol firms can thrive in a Chaebol environment, though not without risks. Using different combinations of competition and cooperation firms may choose particular positions along the product similarity and cooperative relationship dimensions to develop their competitive strategies-co-exister, competitor, partner, niche player. Based on our exploratory case-study analysis, partner seems to be the best strategy for non-Chaebol firms while competitor appears to be the most risky one. Niche players and co-existers have intermediate performance, though the former do better than the latter. It is often the case with managers of small and medium size companies that they tend to view market leaders, typically the Chaebol, with rather simplistic assumptions of either competition or collaboration. Consequently, many non-Chaebol firms turn out to be either passive collaborators or overwhelmed competitors of the Chaebol. In fact, competition and collaboration are not mutually exclusive, and can be pursued at the same time. As suggested in this paper, non-Chaebol firms can actively choose to compete and collaborate, depending on their environment, internal resources and capabilities.

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The Effect on Conflict Resolution Type and Relationship Performance by Conflict Formation Factors between Convenience Store Franchise Headquarters and Franchise Stores (편의점 가맹본부와 가맹점주의 갈등형성요인이 갈등해결성향과 관계성과에 미치는 영향)

  • Lee, Jae-Hak
    • Journal of Arbitration Studies
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    • v.27 no.1
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    • pp.161-182
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    • 2017
  • The purpose of this study is to investigate the factors of conflict formation, conflict resolution type, and relationship performance between convenience store franchise headquarters and franchise stores operated by the franchise system located in the metropolitan area. The conclusion could be summarized as follows. First, according to factor analysis based on the previous research, the factor of conflict between convenience store headquarters and franchisee was tied to three factors such as goal disagreement, doctrinal discrepancy, and interdependence, whereas conflict resolution type was linked to three factors such as cooperation type, attack type, and avoidance type. Finally, the relationship performance is tied to three factors: financial performance, long-term cooperation, and non-financial performance. Second, as a result of Hypothesis 1, the interdependence was positively correlated when the cooperative type was the dependent variable. The target discrepancy was significantly positive(+) when the aggressive type was the dependent variable. The interdependence was significantly negative(-) when the avoidance type was the dependent variable. There also was a significantly positive(+) relationship in the target disagreement. Third, for Hypothesis 2, it is shown that target inconsistency is negative(-) for all cases where financial performance, long-term cooperation, and non-financial performance are dependent variables. Fourth, for Hypothesis 3, when the financial performance is the dependent variable, only the cooperative type shows a positive(+) relationship. On the other hand, when the long-term cooperation and the non-financial aptitude are the dependent variables, the cooperative type has a significant positive(+) relationship.

The Effects of Private Guanxi and Organizational Relationship Type on Quality of Relationship and Performance of Distribution Channel -Focused on Apparel Manufactures and Distribution in China- (중국의류산업에서 제조업체와 유통업체간 개인 Guanxi(관계, 關係)와 조직관계가 조직관계의 질 및 유통경로성과에 미치는 영향)

  • Moon, Young-Ok;Park, Na-Ri;Park, Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.11
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    • pp.1760-1770
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    • 2008
  • The purpose of this study was 1) to find effects of private Guanxi and organizational relationship on quality of organizational relationship, 2) to find effects of private Guanxi and organizational relationship on performance of distribution channel, and 3) to also find effects of quality of organizational relationship on performance of distribution channel. Apparel manufacturers and distributors in China participated in the study. Random sampling method was used to collect the data. Data from 173 questionnaires were used for the statistical analysis. Factor analysis, Cronbach's alpha coefficient, and regression analysis was conducted. Two factors of private Guanxi were classified(i.e., affective Guanxi, instrumental Guanxi). Three factors of organizational relationship type were identified(i.e., opportunistic relationship, cooperative relationship, vertical relationship). The result indicated that affective Guanxi in terms of private Guanxi positively affected on quality of organizational relationship. Cooperative relationship and vertical relationship in terms of organizational relationship positively affected on quality of organizational relationship. Affective Guanxi positively affected on non-financial performance and financial performance in terms of performance of distribution channel. Instrumental Guanxi in terms of private Guanxi positively affected on financial performance only. Cooperative relationship in terms of organizational relationship positively affected on non-financial performance and vertical relationship positively affected on financial performance. Quality of organizational relationship positively affected on non-financial performance and vertical relationship positively affected on financial performance.

Quantum Bee Colony Optimization and Non-dominated Sorting Quantum Bee Colony Optimization Based Multi-relay Selection Scheme

  • Ji, Qiang;Zhang, Shifeng;Zhao, Haoguang;Zhang, Tiankui;Cao, Jinlong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4357-4378
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    • 2017
  • In cooperative multi-relay networks, the relay nodes which are selected are very important to the system performance. How to choose the best cooperative relay nodes is an optimization problem. In this paper, multi-relay selection schemes which consider either single objective or multi-objective are proposed based on evolutionary algorithms. Firstly, the single objective optimization problems of multi-relay selection considering signal to noise ratio (SNR) or power efficiency maximization are solved based on the quantum bee colony optimization (QBCO). Then the multi-objective optimization problems of multi-relay selection considering SNR maximization and power consumption minimization (two contradictive objectives) or SNR maximization and power efficiency maximization (also two contradictive objectives) are solved based on non-dominated sorting quantum bee colony optimization (NSQBCO), which can obtain the Pareto front solutions considering two contradictive objectives simultaneously. Simulation results show that QBCO based multi-relay selection schemes have the ability to search global optimal solution compared with other multi-relay selection schemes in literature, while NSQBCO based multi-relay selection schemes can obtain the same Pareto front solutions as exhaustive search when the number of relays is not very large. When the number of relays is very large, exhaustive search cannot be used due to complexity but NSQBCO based multi-relay selection schemes can still be used to solve the problems. All simulation results demonstrate the effectiveness of the proposed schemes.

Case Analysis of Conflicts in Renewable Power Generation Projects Using Non-cooperative Game Theory (비협조적 게임이론을 활용한 신재생발전사업 갈등 사례분석)

  • Park, Jaehyon;Kim, Kyeongkuk;Kim, Kyeongseok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.44 no.2
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    • pp.215-221
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    • 2024
  • The government is encouraging the expansion of renewable energy facilities through national renewable energy policy. However, the installation of renewable energy generation facilities has led to local resident complaints due to landscape degradation, electromagnetic wave emission, real estate devaluation, and environmental pollution. This creates conflicts between power project developers and residents, making the progress of projects more difficult. This study applies non-cooperative game theory to analyze eight cases of renewable energy projects where conflicts between developers and residents were resolved through resident's investment participation. By accepting investments from local stakeholders, residents achieved returns ranging from a maximum of 25 % to a minimum of 4.1 %. It was found through game theory analysis that a dominant strategy involves residents agreeing to the development of the project and the developers sharing a portion of the profits with the residents. The analysis results show that the point where dominant strategy meet forms a Nash equilibrium, and at the same time becomes the Pareto optimal point, benefiting both power generation operators and residents.